Open source alternatives to gen-specs-as-issues
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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About gen-specs-as-issues
gen-specs-as-issues
Systematic workflow for identifying missing features, prioritizing them
gen-specs-as-issues is an agent skill from the github/awesome-copilot collection that guides a product manager through identifying missing features, prioritizing them and writing them up as GitHub issue specifications. It runs in five phases. The first is project understanding, in which the agent reviews the project structure, reads the README and other documentation, and finds the entry points, core modules, tests and placeholder implementations, so it knows what the product does now. The second is gap analysis, which compares what the documentation promises with what is implemented. The third is prioritization scoring, which ranks the gaps so the most valuable come first. The fourth is specification development, which writes a detailed specification for each feature. The fifth is issue creation. The guiding questions ask about the project's purpose, the user problems it solves and the patterns in its current code. The skill is useful for product managers and founders who want an honest list of what a project is missing. The scores depend on judgments about value and effort, so the prioritization should be agreed with the people who will build the work. Creating issues changes the project's tracker, so the team should confirm the repository and the list before the issues are created. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 8.8K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/gen-specs-as-issues